Computational Modeling of Material Failure due to Ballistic Impact

Warning
This opportunity is closed.
Organization
DEVCOM Army Research Laboratory
Reference Code
ARL-C-WMRD-3758362973
Description

About the Research

This project involves computational model development and implementation into physics based high performance computational codes to predict and provide understanding of material behavior, particularly failure, due to ballistic loading. Materials of interest can be metals, ceramics, or polymers. Simplification of kinematic assumptions for robust algorithm development, constitutive model development, and equation of state development may be involved. Publication of research outcome is expected. ARL, Weapons and Materials Research Directorate, Protection Division, Impact Physics has several facilities to conduct shock physics and high rate material characterization experiments, where theoretical, experimental, computational and analytical researchers investigate large deformations and various types of failure of materials under ballistic loading conditions. Manipulating or exploiting failure mechanisms toward improved material systems for protection of soldiers and vehicles is our mission.

ARL Advisor: Müge Fermen-Coker

ARL Advisor Email: muge.fermen-coker.civ@mail.mil

About WMRD

The goals of the Weapons and Materials Research Directorate (WMRD) are to enhance the lethality and survivability of weapons systems, and to meet the soldier’s technology needs for advanced weaponry and protection. Research is pursued in energetic materials dynamics, propulsion/flight physics, projectile warhead mechanics, terminal effects phenomena, armor/survivability technologies, environmental chemistry, and advanced materials (energetic, metals, ceramics, polymers, composite/hybrids, and mechanics) for armor, armament, missiles, ground vehicles, helicopters, and individual soldier applications necessary for maintaining and ensuring supremacy in future land warfare.

About ARL-RAP

The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory (ARL) help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences. 

A complete application includes:

  • Curriculum Vitae or Resume
  • Three References Forms
    • An email with a link to the reference form will be available in Zintellect to the applicant upon completion of the on-line application. Please send this email to persons you have selected to complete a reference.
    • References should be from persons familiar with your educational and professional qualifications (include your thesis or dissertation advisor, if applicable)
  • Transcripts
    • Transcript verifying receipt of degree must be submitted with the application. Student/unofficial copy is acceptable

If selected by an advisor the participant will also be required to write a research proposal to submit to the ARL-RAP review panel for :

  • Research topic should relate to a specific opportunity at ARL (see Research Areas)
  • The objective of the research topic should be clear and have a defined outcome
  • Explain the direction you plan to pursue
  • Include expected period for completing the study
  • Include a brief background such as preparation and motivation for the research
  • References of published efforts may be used to improve the proposal

A link to upload the proposal will be provided to the applicant once the advisor has made their selection.

Questions about this opportunity? Please email ARLFellowship@orau.org

Eligibility Requirements
  • Citizenship: U.S. Citizen Only
  • Degree: Doctoral Degree received within the last 60 month(s).
  • Academic Level(s): Faculty.
  • Discipline(s):
    • Chemistry and Materials Sciences (12 )
    • Computer, Information, and Data Sciences (16 )
    • Engineering (27 )
    • Environmental and Marine Sciences (13 )
    • Mathematics and Statistics (10 )
    • Physics (16 )
    • Science & Engineering-related (1 )
  • Age: Must be 18 years of age
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